Top Machine Learning Jobs in Krakow

Develop OAM management solutions for 5G/6G RAN, design and implement rApps on Non-RT EIC, integrate AI/ML features, drive studies, bridge design and verification, own technical areas, engage in standardization and customer interactions.

Develop and specify radio network system features for 5G RAN, perform system studies (RRM, scheduling, link adaptation), build network-level simulators, verify and analyze 5G system tests, support product deployment and customer troubleshooting, and contribute to standards and innovation.

Design and specify RAN Baseband system features for 5G, perform system studies in radio resource management and physical layer algorithms, develop network-level simulators, analyze test and network performance, support product verification and deployment, contribute to standards and innovation, and collaborate globally across development and customer teams.

Design and develop scalable, high-quality backend systems for traffic automated road closure detection, handling the full software development lifecycle.

Leads Pfizer’s enterprise applied AI strategy, architecture, governance, operating model, and transformation efforts. Drives portfolio-level technical decisions, reusable capabilities, standards, and measurable business outcomes. Provides hands-on architecture and code review using modern AI and agent frameworks while leading engineers, contractors, and vendors. Oversees quality, security, performance, spending, and technical direction, mentors technical leaders, and evaluates emerging technologies and industry trends.

Lead delivery of real-time fraud decisioning services and platform capabilities for international markets. Design and implement backend services and APIs, integrate regional vendors and ML/AI signals, support operations and on-call, and mentor engineers to maintain high-quality, scalable systems.

Lead validation and scaling of HD map quality by defining test strategies, building automation-first validation frameworks, translating product specs into testable pipelines, designing and executing test plans, integrating ML-driven validation signals, analysing results, and partnering cross-functionally to improve testing and tooling coverage.

Join Ericsson as an intern in RAN Traffic Control to develop and support 5G Radio Access Network software. Participate in the full software lifecycle—study, coding, testing, documentation—troubleshoot issues, reproduce faults, manage configurations, and explore AI/ML solutions to improve operations while being mentored by experienced engineers.

Design, build, deploy, and optimize production-grade generative AI applications using foundation models and LLMs. Develop evaluation pipelines, RAG systems, fine-tuned models, AI agents, and datasets for financial workflows. Improve application latency, cost, accuracy, and reliability while collaborating with cross-functional teams. Preferred work includes AgenticOS patterns, multimodal models, inference optimization, LLMOps, model composition, responsible AI guardrails, and regulated financial applications.

Analyze large datasets and apply statistical and ML techniques to measure and improve platform performance and reliability. Build diagnostic tools, define KPIs, mine internal data feeds, automate analytical workflows, and partner with engineering, operations, and product teams to influence technical decisions and increase system reliability.

Senior technical leader providing high-level AI strategy, architecture direction, and long-term systems design. Delivers strategic artifacts (architecture reviews, AI integration strategies, roadmaps), advises executives, collaborates with product and engineering teams, and mentors technical leaders to improve scalability, resilience, and governance across platforms.

Lead frontend development for the Entitlements platform, owning full SDLC. Design scalable, secure systems, mentor engineers, integrate with backend microservices, and advance LLM-based assistants and personalization using OpenAI/ML models.

Lead design and delivery of Entitlements features for high-traffic digital banking products. Own full SDLC, improve architecture and integrations, mentor engineers, and build LLM-based assistants and personalization engines while ensuring security, scalability, and resilience.

Lead a Product Management team for Digital Connect API platform, define vision and roadmap, prioritize backlog, align with engineering and commercial teams, engage customers, support sales and delivery, monitor market and airline retailing trends, and promote practical AI use to improve product outcomes.

Own post-sale customer lifecycle for Portuguese utility accounts: onboard, embed Neara into workflows (vegetation management, clearance analysis, CAPEX), run QBRs, monitor health scores, drive renewals and upsell, and align product roadmap with local market needs.

Lead and grow multiple small, high-output engineering teams focused on AI-powered vulnerability management. Stay hands-on with architecture and code reviews, drive hiring and career development, ensure technical excellence, and coordinate cross-team priorities to deliver customer and revenue impact.

Architect and build the AI layer for Neo4j’s Hume Maestro platform. Responsibilities include setting the AI technical roadmap, contributing hands-on to production code, designing scalable AI architectures, establishing model evaluation and deployment practices, integrating AI with front-end and platform systems, and collaborating with Product and Science stakeholders. The role may eventually evolve into leading and mentoring a dedicated AI engineering team.

The AI Engineer will build data pipelines and improve ML systems for reliability in production. Responsibilities include schema design, data infrastructure, and model evaluation, ensuring high-quality outputs and integration with product workflows.

As a Technology Innovation Engineer, you will develop innovative platform solutions, evaluate emerging technologies, define integration strategies, and collaborate with stakeholders.

Design and deliver production-ready AI solutions for insurance, focusing on agentic AI, multi-agent systems, LLMs, RAG pipelines, and computer vision. Research and implement state-of-the-art models, take prototypes to production, collaborate with data scientists and engineers, and help build proprietary insurance-focused AI models for international markets.

Lead the estimating product roadmap for an AI-powered construction SaaS: prioritize and ship MVPs, run rapid experiments, conduct user discovery with estimators, define success metrics, and iterate using data and user feedback.

Own full-cycle recruiting for technical roles, partner with hiring managers to define roles, source and close candidates, build scalable systems and pipelines, optimize hiring with data, and support a global, remote people team while acting as a culture ambassador.

Lead database performance engineering for a high-transaction banking platform: diagnose and resolve performance issues, analyze large-scale performance data, build simulations, guide architects and development teams, ensure scalability and quality, support cloud DB initiatives, and consult on database design and performance best practices.

The Fund Accounting Director leads NAV processes, manages accounting teams, ensures timely delivery, and collaborates with clients and internal departments while resolving issues and enhancing procedures.

Lead and deliver Discrete Event Simulation (FlexSim) consulting engagements from discovery to implementation. Build, validate and present simulation models, support technical escalations, drive pre-sales demos and solution scoping, mentor junior staff, develop repeatable methodologies, and collaborate with product, development and customer success teams to improve operations and adoption across EMEA.